Search Results for author: Alexandre Fioravante de Siqueira

Found 7 papers, 2 papers with code

A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks

1 code implementation13 Jan 2021 Alexandre Fioravante de Siqueira, Daniela Mayumi Ushizima, Stéfan van der Walt

Fiber-reinforced ceramic-matrix composites are advanced materials resistant to high temperatures, with application to aerospace engineering.

Segmentation of nearly isotropic overlapped tracks in photomicrographs using successive erosions as watershed markers

no code implementations10 Jun 2017 Alexandre Fioravante de Siqueira, Wagner Massayuki Nakasuga, Sandro Guedes, Lothar Ratschbacher

The major challenges of automatic track counting are distinguishing tracks and material defects, identifying small tracks and defects of similar size, and detecting overlapping tracks.

Estimating the concentration of gold nanoparticles incorporated on Natural Rubber membranes using Multi-Level Starlet Optimal Segmentation

no code implementations26 Oct 2016 Alexandre Fioravante de Siqueira, Flávio Camargo Cabrera, Aylton Pagamisse, Aldo Eloizo Job

This study consolidates Multi-Level Starlet Segmentation (MLSS) and Multi-Level Starlet Optimal Segmentation (MLSOS), techniques for photomicrograph segmentation that use starlet wavelet detail levels to separate areas of interest in an input image.

Segmentation

Segmentation of scanning electron microscopy images from natural rubber samples with gold nanoparticles using starlet wavelets

no code implementations12 Jun 2016 Alexandre Fioravante de Siqueira, Flávio Camargo Cabrera, Aylton Pagamisse, Aldo Eloizo Job

Results given by this method will be used in future studies, to computationally estimate the density distribution of gold nanoparticles in natural rubber samples and to predict reduction kinetics of gold nanoparticles at different time periods.

An automatic method for segmentation of fission tracks in epidote crystal photomicrographs

no code implementations12 Feb 2016 Alexandre Fioravante de Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Carlos Alberto Tello Saenz, Aldo Eloizo Job

This method is applied in photomicrographs of epidote phenocrystals, in which accuracy higher than 89% was obtained in fission track segmentation, even for difficult images.

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